Yes, it is stored as factor. I can't check out any problem in the original
data. Reread data doesn't help either. I use read.csv to read in the data,
do you think it is better to use read.table? Thanks again.
On Tue, Sep 20, 2016 at 3:55 PM, Greg Snow <538...@gmail.com> wrote:
> This indicates that your Discharge column has been stored/converted as
> a factor (run str(df) to verify and check other columns). This
> usually happens when functions like read.table are left to try to
> figure out what each column is and it finds something in that column
> that cannot be converted to a number (possibly an oh instead of a
> zero, an el instead of a one, or just a letter or punctuation mark
> accidentally in the file). You can either find the error in your
> original data, fix it, and reread the data, or specify that the column
> should be numeric using the colClasses argument to read.table or other
> On Tue, Sep 20, 2016 at 3:46 PM, lily li <chocol...@gmail.com> wrote:
> > Hi R users,
> > I have a problem in reading data.
> > For example, part of my dataframe is like this:
> > df
> > month day year Discharge
> > 3 1 2010 6.4
> > 3 2 2010 7.58
> > 3 3 2010 6.82
> > 3 4 2010 8.63
> > 3 5 2010 8.16
> > 3 6 2010 7.58
> > Then if I type summary(df), why it converts the discharge data to
> levels? I
> > also met the same problem when reading some other csv files. How to solve
> > this problem? Thanks.
> > Discharge
> > 7.58 :2
> > 6.4 :1
> > 6.82 :1
> > 8.63 :1
> > 8.16 :1
> > [[alternative HTML version deleted]]
> > ______________________________________________
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> > PLEASE do read the posting guide http://www.R-project.org/
> > and provide commented, minimal, self-contained, reproducible code.
> Gregory (Greg) L. Snow Ph.D.
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